Perform Data Science with Azure Databricks

In this course, you will learn how to leverage the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run data science workloads in the cloud. This is the fourth course in a five-course program that prepares you to take the DP-100 certification exam: The certification exam validates your knowledge and experience running machine learning solutions at cloud scale using Azure Machine Learning. This specialization will teach you how to use your existing Python and machine learning knowledge to manage data ingest and preparation, model training and deployment, and monitoring machine learning solutions in Microsoft Azure. Each course teaches you the concepts and skills that are measured on the exam. This specialization is designed for data scientists with knowledge of Python and machine learning frameworks such as Scikit-Learn, PyTorch, and Tensorflow who want to build and operate machine learning solutions in the cloud. This course teaches data scientists how to build end-to-end solutions in Microsoft Azure. Students will learn how to manage Azure resources for machine learning; run experiments and train models; deploy and operationalize machine learning solutions; and implement responsible machine learning. They will also learn how to use Azure Databricks for data exploration, preparation, and modeling, and how to integrate Databricks machine learning workflows with Azure Machine Learning.